{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "72660175",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# 导入基本库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2698741d",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "# 设置中文字体\n",
    "plt.rcParams['font.family']=['sans-serif']\n",
    "plt.rcParams['font.sans-serif']='SimHei'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "195d7b34",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# 数据读取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2a599837",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "data=pd.read_csv('dataset.csv')\n",
    "# data.info()\n",
    "# data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0abda916",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# 数据处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ecb9d922",
   "metadata": {
    "code_folding": [
     0
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# 将日期转换为日期格式\n",
    "data['OrderDate']=pd.to_datetime(data['OrderDate'])\n",
    "data['ShipDate']=pd.to_datetime(data['ShipDate'])\n",
    "# data.info()\n",
    "# 计算发货时间和下单时间的时间差\n",
    "data['interval']=(data.ShipDate-data.OrderDate).dt.days\n",
    "# data['interval02']=(data.ShipDate-data.OrderDate).dt.total_seconds()\n",
    "# 异常数据\n",
    "data[data['interval']<0]\n",
    "# 删除异常数据\n",
    "data.drop(index=data[data['interval']<0].index,inplace=True)\n",
    "# 售价为负\n",
    "data[data['Sales']<0]\n",
    "data.shape\n",
    "# data.info()\n",
    "# data.isna().sum()\n",
    "data.RowID.unique().size\n",
    "# 查找重复值\n",
    "data[data.RowID.duplicated()]\n",
    "# 删除重复值\n",
    "data.drop(index=data[data.RowID.duplicated()].index,inplace=True)\n",
    "# 查找发货模式为空的\n",
    "data[data.ShipMode.isnull()]\n",
    "# 查找发货模式的众数\n",
    "data.ShipMode.mode()[0]\n",
    "# 将发货模式为空的填充为众数\n",
    "data.ShipMode.fillna(value=data.ShipMode.mode()[0],inplace=True)\n",
    "# data.info()\n",
    "# data.drop(columns=['PostalCode'],inplace=True)\n",
    "# Discount异常值\n",
    "data[data.Discount<0]\n",
    "data['Discount']=data['Discount'].mask(data.Discount>1,None)\n",
    "# 将discount空值替换为均值\n",
    "discount_mean=round(data.Discount.mean(),2)\n",
    "data.Discount.fillna(value=discount_mean,inplace=True)\n",
    "# data.info()\n",
    "# 添加下单日期的年份/月份/季度\n",
    "data['Order_year']=data.OrderDate.dt.year\n",
    "data['Order_month']=data.OrderDate.dt.month\n",
    "data['Quter']=data.OrderDate.dt.to_period('Q')\n",
    "# data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfe04547",
   "metadata": {},
   "source": [
    "# 三 数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e09d10d8",
   "metadata": {},
   "source": [
    "1.每年的销售额增长情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dd5a34bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1350x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 销售额\n",
    "# 销售增长率=今年销售额-去年销售额/去年销售额\n",
    "sales_sum=data.groupby('Order_year')['Sales'].sum()/10000\n",
    "# 销售增长率\n",
    "sales_rate_12=sales_sum[2012]/sales_sum[2011]-1\n",
    "sales_rate_13=sales_sum[2013]/sales_sum[2012]-1\n",
    "sales_rate_14=sales_sum[2014]/sales_sum[2013]-1\n",
    "# 销售增长率\n",
    "sales_rate_12_label='%.2f%%'%(sales_rate_12*100)\n",
    "sales_rate_13_label='%.2f%%'%(sales_rate_13*100)\n",
    "sales_rate_14_label='%.2f%%'%(sales_rate_14*100)\n",
    "sales_rate=pd.DataFrame(\n",
    "   { 'sales_all':sales_sum,\n",
    "    'sales_rate':[0,sales_rate_12,sales_rate_13,sales_rate_14],\n",
    "    'sales_rate_label':['0.00%',sales_rate_12_label,sales_rate_13_label,sales_rate_14_label]\n",
    "   }\n",
    ")\n",
    "# 数据准备\n",
    "x=[str(val) for val in sales_rate.index.tolist()]\n",
    "y1=sales_rate['sales_all']\n",
    "y2=sales_rate['sales_rate_label']\n",
    "\n",
    "# 画图\n",
    "from matplotlib import font_manager\n",
    "import matplotlib.ticker as mtick\n",
    "my_font=font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\simhei.ttf',size=18)\n",
    "fig=plt.figure(figsize=(15,8),dpi=90)\n",
    "ax1=fig.add_subplot(1,1,1)\n",
    "ax2=ax1.twinx()\n",
    "ax1.set_xlabel('年份',fontproperties=my_font)\n",
    "ax1.set_ylabel('销售额/万元',fontproperties=my_font)\n",
    "ax2.set_ylabel('销售增长率',fontproperties=my_font)\n",
    "ax1.bar(x,y1,color=['r','g','b'],width=0.4)\n",
    "b=y2.values.tolist()\n",
    "l=[i for i in range(len(b))]\n",
    "# enumerate()是一个枚举函数,用于将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列，\n",
    "# 同时列出数据和数据下标。\n",
    "for i,(_x,_y) in enumerate(zip(l,b)):\n",
    "    plt.text(_x,_y,str(b[i]),color='black',fontsize=18)\n",
    "#     print(i,_x,_y,b[i])\n",
    "ax2.plot(x,y2,marker='*',color='y')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b83379b",
   "metadata": {},
   "source": [
    "各个地区分店的销售额"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4917eb3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'各地区销售额占比'}, ylabel='Sales'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_regin=data.groupby('Market')['Sales'].sum()\n",
    "sales_regin.plot(kind='pie',autopct='%.1f%%',figsize=(10,5),title='各地区销售额占比',startangle=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39ad2735",
   "metadata": {},
   "source": [
    "各超市每年销售额"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b2a55b5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Order_year</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Market</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>APAC</th>\n",
       "      <td>63.928599</td>\n",
       "      <td>76.266997</td>\n",
       "      <td>97.486197</td>\n",
       "      <td>120.907407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>12.715721</td>\n",
       "      <td>14.453109</td>\n",
       "      <td>22.905223</td>\n",
       "      <td>28.303644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>0.850911</td>\n",
       "      <td>1.609680</td>\n",
       "      <td>1.916115</td>\n",
       "      <td>2.316111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EMEA</th>\n",
       "      <td>13.641229</td>\n",
       "      <td>16.332360</td>\n",
       "      <td>20.464068</td>\n",
       "      <td>30.156762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EU</th>\n",
       "      <td>47.748433</td>\n",
       "      <td>65.198478</td>\n",
       "      <td>75.618060</td>\n",
       "      <td>103.921690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LATAM</th>\n",
       "      <td>38.143897</td>\n",
       "      <td>45.639563</td>\n",
       "      <td>60.096467</td>\n",
       "      <td>69.579935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US</th>\n",
       "      <td>48.407609</td>\n",
       "      <td>47.039543</td>\n",
       "      <td>60.825437</td>\n",
       "      <td>73.366828</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Order_year       2011       2012       2013        2014\n",
       "Market                                                 \n",
       "APAC        63.928599  76.266997  97.486197  120.907407\n",
       "Africa      12.715721  14.453109  22.905223   28.303644\n",
       "Canada       0.850911   1.609680   1.916115    2.316111\n",
       "EMEA        13.641229  16.332360  20.464068   30.156762\n",
       "EU          47.748433  65.198478  75.618060  103.921690\n",
       "LATAM       38.143897  45.639563  60.096467   69.579935\n",
       "US          48.407609  47.039543  60.825437   73.366828"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_area=data.groupby(['Market','Order_year'])['Sales'].sum()/10000\n",
    "# type(sales_area)\n",
    "# sales_area=sales_area.reset_index(level=[0,1])\n",
    "# # 转化为数据透视表\n",
    "# # sales_area\n",
    "# sales_area=pd.pivot_table(\n",
    "#     sales_area,\n",
    "#     index='Market',\n",
    "#     columns='Order_year',\n",
    "#     values='Sales'\n",
    "# )\n",
    "# sales_area\n",
    "# fig=sales_area.plot(kind='bar',figsize=(10,5),title='2011-2014个超市每年销售额',fontsize=15)\n",
    "# fig.set_xlabel('年份',size=15)\n",
    "# fig.set_ylabel('销售额/万元',size=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6765d772",
   "metadata": {},
   "source": [
    "不同地区不同类别产品销售情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c00f23c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Market'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_sales_area=data.groupby(['Market','Category'])['Sales'].sum()/10000\n",
    "category_sales_area=category_sales_area.reset_index(level=[0,1])\n",
    "category_sales_area\n",
    "# 数据透视表\n",
    "category_sales_area=pd.pivot_table(\n",
    "    category_sales_area,\n",
    "    index='Market',\n",
    "    columns='Category',\n",
    "    values='Sales'\n",
    ")\n",
    "category_sales_area.plot(kind='bar',figsize=(13,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f97225e",
   "metadata": {},
   "source": [
    "销售淡旺季"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "563e7496",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0x1f1f0c6f760>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0c6feb0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0e9f6d0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f088ab20>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0ca1e80>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0b747f0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0cf2ee0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0e98520>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0b82160>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0e98ee0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0e98f10>,\n",
       " <matplotlib.axis.XTick at 0x1f1f0ea02e0>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_quter=data.groupby(['Order_year','Order_month'])['Sales'].sum()/10000\n",
    "sales_quter=sales_quter.reset_index()\n",
    "sales_quter=pd.pivot_table(\n",
    "    sales_quter,\n",
    "    index='Order_month',\n",
    "    columns='Order_year',\n",
    "    values='Sales'\n",
    ")\n",
    "ax1=sales_quter.plot(title='2011-2014销售淡旺季',figsize=(13,6),color=['r','g','b'])\n",
    "ax1.set_ylabel('销售额/万元',size=16)\n",
    "ax1.set_xlabel('月份',size=16)\n",
    "ax1.set_xticks(range(1,13))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8272b4ae",
   "metadata": {},
   "source": [
    "新老客户"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "212798fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0x1f1f1449160>,\n",
       " <matplotlib.axis.XTick at 0x1f1f1449130>,\n",
       " <matplotlib.axis.XTick at 0x1f1f145b250>,\n",
       " <matplotlib.axis.XTick at 0x1f1f148e790>,\n",
       " <matplotlib.axis.XTick at 0x1f1f148eca0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f14941f0>,\n",
       " <matplotlib.axis.XTick at 0x1f1f1494700>,\n",
       " <matplotlib.axis.XTick at 0x1f1f1494c10>,\n",
       " <matplotlib.axis.XTick at 0x1f1f1446610>,\n",
       " <matplotlib.axis.XTick at 0x1f1f148e250>,\n",
       " <matplotlib.axis.XTick at 0x1f1f1494400>,\n",
       " <matplotlib.axis.XTick at 0x1f1f149f280>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_customer=data.copy()\n",
    "# 删除重复用户\n",
    "data_customer.drop_duplicates(subset=['CustomerID'])\n",
    "data_cu=data_customer.groupby(['Order_year','Order_month'])['CustomerID'].count()\n",
    "data_cu=data_cu.reset_index(level=[0,1])\n",
    "data_cu=pd.pivot_table(\n",
    "    data_cu,\n",
    "    index='Order_month',\n",
    "    columns='Order_year',\n",
    "    values='CustomerID'\n",
    ")\n",
    "ax1=data_cu.plot(title='2011-2014年用户数量',figsize=(12,6))\n",
    "ax1.set_xlabel('月份')\n",
    "ax1.set_ylabel('数量')\n",
    "ax1.set_xticks(range(1,13))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c44c2252",
   "metadata": {},
   "source": [
    "\n",
    "# RFM画像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2f6b360f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OrderDate</th>\n",
       "      <th>M</th>\n",
       "      <th>F</th>\n",
       "      <th>R</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CustomerID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AA-10315</th>\n",
       "      <td>2014-12-23</td>\n",
       "      <td>3889.2065</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>重要价值客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-10375</th>\n",
       "      <td>2014-12-25</td>\n",
       "      <td>1904.5380</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>潜力客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-10480</th>\n",
       "      <td>2014-08-28</td>\n",
       "      <td>7752.9070</td>\n",
       "      <td>10</td>\n",
       "      <td>125</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-10645</th>\n",
       "      <td>2014-12-03</td>\n",
       "      <td>3539.8788</td>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>重要价值客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-315</th>\n",
       "      <td>2014-12-29</td>\n",
       "      <td>787.3920</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>新客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YS-21880</th>\n",
       "      <td>2014-12-22</td>\n",
       "      <td>7282.4740</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "      <td>重要价值客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZC-11910</th>\n",
       "      <td>2014-06-14</td>\n",
       "      <td>7.1730</td>\n",
       "      <td>1</td>\n",
       "      <td>200</td>\n",
       "      <td>流失客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZC-21910</th>\n",
       "      <td>2014-12-28</td>\n",
       "      <td>4922.8390</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>重要价值客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZD-11925</th>\n",
       "      <td>2014-12-28</td>\n",
       "      <td>856.2600</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>新客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZD-21925</th>\n",
       "      <td>2014-12-30</td>\n",
       "      <td>2029.9389</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>新客户</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1510 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            OrderDate          M   F    R   label\n",
       "CustomerID                                       \n",
       "AA-10315   2014-12-23  3889.2065  17    8  重要价值客户\n",
       "AA-10375   2014-12-25  1904.5380  14    6    潜力客户\n",
       "AA-10480   2014-08-28  7752.9070  10  125  重要挽留客户\n",
       "AA-10645   2014-12-03  3539.8788  19   28  重要价值客户\n",
       "AA-315     2014-12-29   787.3920   3    2     新客户\n",
       "...               ...        ...  ..  ...     ...\n",
       "YS-21880   2014-12-22  7282.4740  19    9  重要价值客户\n",
       "ZC-11910   2014-06-14     7.1730   1  200    流失客户\n",
       "ZC-21910   2014-12-28  4922.8390  27    3  重要价值客户\n",
       "ZD-11925   2014-12-28   856.2600   8    3     新客户\n",
       "ZD-21925   2014-12-30  2029.9389   6    1     新客户\n",
       "\n",
       "[1510 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取2014年客户信息\n",
    "data_14=data[data['Order_year']==2014]\n",
    "data_14\n",
    "# 获取用户所在的列\n",
    "data_14=data_14[['CustomerID','OrderDate','Sales']]\n",
    "# 复制数据\n",
    "customer=data_14.copy()\n",
    "customer.set_index('CustomerID',drop=True,inplace=True)\n",
    "# 添加交易次数字段\n",
    "customer['orders']=1\n",
    "# 数据透视表  最后一次购买次数,购买总金额\n",
    "rfmdf=customer.pivot_table(\n",
    "    index='CustomerID',\n",
    "    values=['OrderDate','orders','Sales'],\n",
    "    aggfunc={\n",
    "        'OrderDate':'max',\n",
    "        'orders':'sum',\n",
    "        'Sales':'sum'\n",
    "    }\n",
    ")\n",
    "# 打标签\n",
    "rfmdf['R']=(rfmdf.OrderDate.max()-rfmdf.OrderDate).dt.days\n",
    "rfmdf.rename(columns={'Sales':'M','orders':'F'},inplace=True)\n",
    "# 将用户进行分层\n",
    "def funcrfm(x):\n",
    "    res=x.apply(lambda x: '1'if x>0 else '0')\n",
    "    label=res.R+res.F+res.M\n",
    "    d={\n",
    "        \n",
    "        '011':'重要价值客户', \n",
    "        '111':'重要唤回客户',\n",
    "        '001':'重要深耕客户',\n",
    "        '101':'重要挽留客户',\n",
    "        '010':'潜力客户',\n",
    "        '110':'一般维持客户',\n",
    "        '000':'新客户',\n",
    "        '100':'流失客户'\n",
    "    }\n",
    "    result=d[label]\n",
    "    return result\n",
    "# 给用户打标签\n",
    "rfmdf['label']=rfmdf[['R','F','M']].apply(lambda x:x-x.mean()).apply(funcrfm,axis=1)\n",
    "rfmdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "65039613",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 统计各种客户的数量\n",
    "cn=rfmdf.label.value_counts()\n",
    "x=cn.index\n",
    "y=cn.values\n",
    "\n",
    "plt.figure(figsize=(12,6),dpi=80)\n",
    "reacts=plt.bar(range(len(x)),[int(i) for i in y],color=['r','g','b'],width=0.5)\n",
    "plt.title('各种客户类型数量')\n",
    "plt.xticks(range(len(x)),x)\n",
    "for re in reacts:\n",
    "    height=re.get_height()\n",
    "    plt.text(re.get_x()+re.get_width()/2,height,str(height),ha='center',size=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8abe5518",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# RFM评分算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9190e051",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>R</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1510.000000</td>\n",
       "      <td>1510.000000</td>\n",
       "      <td>1510.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>61.747020</td>\n",
       "      <td>11.572848</td>\n",
       "      <td>2838.095210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>74.135957</td>\n",
       "      <td>8.435837</td>\n",
       "      <td>2891.957839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.052000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>13.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>531.277500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1920.083460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>82.750000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>4372.589475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>362.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>23295.218400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 R            F             M\n",
       "count  1510.000000  1510.000000   1510.000000\n",
       "mean     61.747020    11.572848   2838.095210\n",
       "std      74.135957     8.435837   2891.957839\n",
       "min       0.000000     1.000000      2.052000\n",
       "25%      13.000000     4.000000    531.277500\n",
       "50%      33.000000    10.000000   1920.083460\n",
       "75%      82.750000    17.000000   4372.589475\n",
       "max     362.000000    48.000000  23295.218400"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfm_grade=rfmdf[['R','F','M']]\n",
    "rfm_grade.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "99302675",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>R_S</th>\n",
       "      <th>F_S</th>\n",
       "      <th>M_S</th>\n",
       "      <th>RFM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CustomerID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AA-10315</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>重要唤回客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-10375</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>重要唤回客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-10480</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>重要深耕客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-10645</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>重要唤回客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AA-315</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>流失客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YS-21880</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>重要唤回客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZC-11910</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>新客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZC-21910</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>重要唤回客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZD-11925</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>流失客户</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZD-21925</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1510 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            R_S  F_S  M_S     RFM\n",
       "CustomerID                       \n",
       "AA-10315      5    4    3  重要唤回客户\n",
       "AA-10375      5    3    3  重要唤回客户\n",
       "AA-10480      3    2    4  重要深耕客户\n",
       "AA-10645      5    4    3  重要唤回客户\n",
       "AA-315        5    1    2    流失客户\n",
       "...         ...  ...  ...     ...\n",
       "YS-21880      5    4    4  重要唤回客户\n",
       "ZC-11910      2    1    1     新客户\n",
       "ZC-21910      5    5    3  重要唤回客户\n",
       "ZD-11925      5    2    2    流失客户\n",
       "ZD-21925      5    2    3  重要挽留客户\n",
       "\n",
       "[1510 rows x 4 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 设置F值打分区间\n",
    "section_list_F=[0,5,10,15,20,50]\n",
    "grade_F=pd.cut(rfm_grade['F'],bins=section_list_F,labels=[1,2,3,4,5])\n",
    "grade_F\n",
    "# 设置M值打区间\n",
    "section_list_M=[0,500,1000,5000,10000,30000]\n",
    "grade_M=pd.cut(rfm_grade['M'],bins=section_list_M,labels=[1,2,3,4,5,])\n",
    "grade_M\n",
    "# 设置R值打分区间\n",
    "section_list_R=[-1,32,93,186,270,365]\n",
    "grade_R=pd.cut(rfm_grade['R'],bins=section_list_R,labels=[5,4,3,2,1])\n",
    "rfmdf['R_S']=grade_R.values\n",
    "rfmdf['F_S']=grade_F.values\n",
    "rfmdf['M_S']=grade_M.values\n",
    "# rfmdf.info()\n",
    "# 将新建的标签进行类型转化\n",
    "rfmdf_score=pd.DataFrame(rfmdf[['R_S','F_S','M_S']],dtype=np.int64)\n",
    "def func(x):\n",
    "    res=x.apply(lambda x:'1' if x>0 else '0')\n",
    "    label=res.R_S+res.F_S+res.M_S\n",
    "    d={\n",
    "        '011':'重要价值客户', \n",
    "        '111':'重要唤回客户',\n",
    "        '001':'重要深耕客户',\n",
    "        '101':'重要挽留客户',\n",
    "        '010':'潜力客户',\n",
    "        '110':'一般维持客户',\n",
    "        '000':'新客户',\n",
    "        '100':'流失客户'\n",
    "    }\n",
    "    result=d[label]\n",
    "    return result\n",
    "rfmdf_score['RFM']=rfmdf_score[['R_S','F_S','M_S']].apply(lambda x: x-x.mean()).apply(func,axis=1)\n",
    "rfmdf_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "bdc3ec0d",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cv=rfmdf_score.RFM.value_counts()\n",
    "x=cv.index\n",
    "y=cv.values\n",
    "plt.figure(figsize=(15,5),dpi=80)\n",
    "rea=plt.bar(x,y,color=['r','g','b'],label='客户类型数量')\n",
    "plt.xlabel('客户种类',fontsize=15)\n",
    "plt.ylabel('客户数量',fontsize=15)\n",
    "for re in rea:\n",
    "    height=re.get_height()\n",
    "    plt.text(re.get_x()+re.get_width()/2,height,str(height),ha='center',size=13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "581ac477",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "165px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   },
   "types_to_exclude": [
    "module",
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    "builtin_function_or_method",
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   "window_display": false
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 "nbformat": 4,
 "nbformat_minor": 5
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